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Platypus Yi 34B by bhenrym14

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Platypus Yi 34B is an open-source language model by bhenrym14. Features: 34b LLM, VRAM: 69.2GB, Context: 4K, License: other, HF Score: 71.7, LLM Explorer Score: 0.13, Arc: 68.4, HellaSwag: 85.2, MMLU: 78.1, TruthfulQA: 54.5, WinoGrande: 84.1, GSM8K: 59.8.

  Autotrain compatible Dataset:garage-baind/open-plat...   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bhenrym14/platypus-yi-34b 

Platypus Yi 34B Benchmarks

ARC: 68.43 vs 96.7 (so35)-29.2%
HellaSwag: 85.21 vs 95.3 (gpt4)-10.6%
MMLU: 78.13 vs 88.3 (so35)-11.5%
TruthfulQA: 54.48 vs 59 (gpt4)-7.7%
WinoGrande: 84.06 vs 87.5 (gpt4)-3.9%
GSM8K: 59.82 vs 96.4 (so35)-37.9%
LLME Score: 0.13047
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Platypus Yi 34B (bhenrym14/platypus-yi-34b)
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Platypus Yi 34B Parameters and Internals

Model Type 
text generation, instruction-tuning
Additional Notes 
It is suspected that the model checkpoint at 1 epoch may be undertrained and requires more hyperparameter tuning.
Training Details 
Data Sources:
garage-bAInd/Open-Platypus
Methodology:
QLoRA fine-tune (rank 64)
Training Time:
~18 hours
Hardware Used:
1x RTX 6000 Ada
Model Architecture:
llama2 definitions and tokenizer
LLM NamePlatypus Yi 34B
Repository 🤗https://huggingface.co/bhenrym14/platypus-yi-34b 
Model Size34b
Required VRAM69.2 GB
Updated2025-09-23
Maintainerbhenrym14
Model Typellama
Model Files  4.8 GB: 1-of-15   4.8 GB: 2-of-15   5.0 GB: 3-of-15   4.8 GB: 4-of-15   4.8 GB: 5-of-15   5.0 GB: 6-of-15   4.8 GB: 7-of-15   4.8 GB: 8-of-15   5.0 GB: 9-of-15   4.8 GB: 10-of-15   4.8 GB: 11-of-15   5.0 GB: 12-of-15   4.8 GB: 13-of-15   4.8 GB: 14-of-15   1.2 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

Quantized Models of the Platypus Yi 34B

Model
Likes
Downloads
VRAM
Platypus Yi 34B GGUF47114 GB
Platypus Yi 34B AWQ01119 GB
Platypus Yi 34B GPTQ2118 GB

Best Alternatives to Platypus Yi 34B

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Context / RAM
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Bagel Hermes 34B Slerp195K / 68.9 GB85241
34B Beta195K / 69.2 GB786864
Smaug 34B V0.1195K / 69.2 GB846364
Yi 34B 200K195K / 68.9 GB9763320
Casual Magnum 34B195K / 68.8 GB51
Bagel 34B V0.2195K / 68.7 GB275241
Yi 34B 200K AEZAKMI V2195K / 69.2 GB187212
Faro Yi 34B195K / 69.2 GB84806
Bagel DPO 34B V0.5195K / 68.7 GB805517
Smaug 34B V0.1 ExPO195K / 69.2 GB78000
Note: green Score (e.g. "73.2") means that the model is better than bhenrym14/platypus-yi-34b.

Rank the Platypus Yi 34B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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